AndreaBozzo/ceres-open-data-index huggingface dataset:
Cartographie des réseaux sociaux et des stratégies communautaires dans le sud de Madagascar (étude MAPNET) : outils méthodologiques, données d'enquête et documentation

[Lien vers la fiche source] L'étude MAPNET "Mapping social networks and community strategies in Southern Madagascar" est une expertise collective conduite en 2019 pour la Banque mondiale. A quelle protection sociale les habitants du Sud de Madagascar ont-ils effectivement accès ? Alors que la politique nationale de protection sociale est en pleine reconfiguration à Madagascar, le taux de couverture de la population reste très faible et les dispositifs diffèrent largement d'une région à l'autre. Afin d'étudier les mécanismes de protection sociale effectivement accessibles localement, nous proposons la notion de système local de protection sociale, ou SLPS. Composante du système socio-écologique local, le SLPS produit et régule les pratiques de protection sociales accessibles au niveau local. Il est le produit d'interactions sociales multiples, régulées par les rapports sociaux encadrant les règles de réciprocité et de pouvoir. A partir de données empiriques originales, cette étude vise à caractériser les formes prises par le système local de protection sociale en pays Tandroy, région particulièrement vulnérable du Sud de Madagascar, et à étudier les inégalités d'accès à ce système, en fonction de caractéristiques socio-économiques-clé. La compréhension des dynamiques locales à différentes échelles (fokontany, ménage, personne) oblige à privilégier une approche mixte de production de donnée, articulant des éléments de diagnostic systémique, des enquêtes par questionnaires, des récits de vie, et d'entretiens collectifs auprès des organisations locales. L'enquête s'est déroulée dans 6 sites : Beheloka et Maniry (zone Mahafaly), Ambahitra et Ambazoa (zone Androy), Mahatalaky et Ifotaka (zone Anosy) Nous présentons ici les outils méthodologiques, les données d'enquête et la documentation des 3 enquêtes de l'étude MAPNET : l'enquête systémique, l'enquête organisations locales (OL) et l'enquête ménages-individus-réseaux (enquête MIR).
TREFL database: Traits of the Reunion flora

[Lien vers la fiche source] Plant traits are closely linked to species distribution patterns and community assembly processes. Trait-based approaches allows scientists to understand and predict how plant communities may respond to disturbances such as biological invasions, land-use changes, and climate variability. This dataset compiles data on leaf morphological traits (leaf area, leaf fresh weight, leaf dry weight, SLA, LDMC), leaf chemical composition (N, C, P, K, Ca, Mg), life-history traits (life form and maximum height), seed characteristics (mass, number per fruit) and a range of other ecological (pollinators, seed dispersers, climatic preference) and biogeographical attributes (nativeness, endemism) for > 200 native and alien vascular plant species of Reunion Island. Infraspecific taxa were grouped at the species level. The database includes both primary data (leaf traits measured on > 4,000 leaves), personal communications from botanists and secondary data derived from a variety of local and global resources to which we refer in the database. Protocols are also detailed in each resource.
Grand Débat National - Données enrichies

[Lien vers la fiche source] [FR] Ces données agrègent : - les contributions libres déposées sur la plateforme en ligne http://granddebat.fr relatives à la question de la transition écologique, - les annotations de ces contributions réalisées sur la plateforme en ligne https://grandeannotation.fr, - l'extraction des localisations mentionnées par les contributeurs[*], - l'extraction de mots clés des contributions [*], - les géométries (Point) pour chaque code postal associé à un contributeur. [*] Ces extractions ont été effectuées à l'aide de méthodes de fouilles de données. Par conséquent, certaines annotations peuvent être incomplètes ou fausses. [EN] These data aggregate: - free contributions submitted to the online platform http://granddebat.fr on the Ecological Transition topic, - the contributions' annotations made on the online platform https://grandeannotation.fr, - the extraction of the locations mentioned by the contributors[*], - extraction of keywords from contributions[*], - the geometries (Point) for each postal code associated with a contributor. [*] These extractions were carried out using data mining methods. As a result, some annotations may be incomplete or false.
Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)

[Lien vers la fiche source] Phenotypic plasticity can contribute to crop adaptation to challenging environments. Plasticity indices are potentially useful to identify the genetic basis of crop phenotypic plasticity. Numerous methods exist to measure phenotypic plasticity. Among those, the ratio (also called the response coefficient; Bouslama and Schapaugh, 1984) or the relative distance plasticity index (RDPI; Valladares et al., 2006) rely on pairwise comparison of phenotypic means between environments (e.g. non-optimal versus optimal growth environments for instance). The coefficient of variation (CV) was calculated as the standard deviation of the trait for a genotype in all environments divided by the genotype phenotypic mean across all environments (Francis and Kannenberg, 1978). The Finlay-Wilkinson joint linear regression analysis corresponds to regression of the phenotypic mean of a trait for a given genotype against the averaged phenotypic means of all the genotypes in each studied environment (Finlay and Wilkinson, 1963). It allows calculation of the slope (also called linear plasticity) that represents the sensitivity of the trait across the environments for a genotype, and the mean square error from the regression (MSE, also called non-linear plasticity) that describes the deviation of the measured phenotypic value from the predicted phenotype in a given environment. The AMMI model uses an analysis of variance to characterize the genotype and environment main effects, and a principal component analysis to characterize their interactions (Gabriel, 1978). Parameters of AMMI analysis, such as the AMMI Zhang's Euclidean distance (D) which is the distance of the interaction principal component point (IPC) from its origin in space (Zhang and Xiang, 1998; Xie et al., 2021), or the AMMI stability value (ASV) which considers the magnitude of the sum of squares of the first two IPC, have also been used as phenotypic plasticity indices (Purchase et al., 2000). This dataset contains plasticity indices (ratio, RDPI, CV, Slope, MSE, D, ASV) calculated for leaf area, shoot biomass and water use efficiency on 254 maize genotypes grown under well-watered and water stress treatments in an environmentally-controlled phenotyping platform, in four independent trials performed in different years and seasons (values for traits in each environment were published by Alvarez Prado et al., 2017). The scripts used for calculation of the plasticity indices, for estimation of the genetic variance, for identification of QTL associated with the plasticity indices using GWAS, to measure the contribution of the identified QTL to the genetic variance and to perform a step forward analysis to evaluate the efficiency of the analysis are provided. We also provide a Table comprehensively describing the equation used for calculation of the different plasticity indices. The ability QTL associated with plasticity indices to contribute to the genetic variance was compared to that of QTL associated with the phenotypic means.
Simulated peak flow for the May 16 2019 flood event in Bamako, Mali

[Lien vers la fiche source] On May 16 2019, an intense rainfall event led to devastating floods in Bamako (Mali). The Rain Cell app Bamako was partially operational, with 6 rain gauges recording and sending in real time rainfall over the city of Bamako. This raster file in ASCII ESRI format contains peakflow values simulated by the Raincell Bamako App. Maximum peakflow is expressed in liters per seconds. Missing data are coded as -9999. The projection system is EPSG:32629- WGS 84 / UTM zone 29N. Le 16 mai 2019, un événement pluvieux exceptionnel a donné lieu à des inondations meurtrières à Bamako (Mali). Le démonstrateur Rain Cell app Bamako était alors partiellement opérationnel et comptait 6 pluviographes couvrant l'ensemble de l'agglomération Bamakoise, qui enregistraient et télétransmettaient les données en temps réel. Ce fichier raster en format ASCII ESRI contient les débits de pointe simulés par le démonstrateur Raincell Bamako App. Les débits sont exprimés en litres par secondes. Les données manquantes sont codées en -9999. Le système de projection est UEPSG:32629- WGS 84 / UTM zone 29N.
Rainfall dataset of the May 16 2019 flood event in Bamako, Mali

[Lien vers la fiche source] On May 16 2019, an intense rainfall event led to devastating floods in Bamako, Mali. The Early Flood Warning System (EWS) Rain Cell app Bamako was partially operational. 6 rain gauges, spread over the city, recorded and sent rainfall intensities in real time. This text file contains the rainfall data (millimeters) at 15-minutes times steps collected by the 6 rain gauges (Tab-separated values). Le 16 mai 2019, des précipitations intenses ont provoqué des inondations dévastatrices à Bamako au Mali. Le démonstrateur d'alerte précoce aux inondations Rain Cell app Bamako était partiellement opérationnel. 6 pluviomètres, répartis dans la ville, ont enregistré et transmis en temps réel les intensités de pluie. Ce fichier texte contient les données pluviométriques (mm) à des intervalles de 15 minutes, recueillies par les 6 pluviomètres (séparateur de champs : tabulation).
Simulated overbank flow for the May 16 2019 flood event in Bamako, Mali

[Lien vers la fiche source] On May 16 2019, an intense rainfall event led to devastating floods in Bamako (Mali). The Rain Cell app Bamako was partially operational, with 6 rain gauges recording and sending in real time rainfall over the city of Bamako. This raster file in ASCII ESRI format contains peakflow values corresponding to overbank flow calculated as the difference between simulated peakflow and the maximum capacity of the drainage network. Maximum peakflow is expressed in liters per seconds. Missing data are coded as -9999. The projection system is EPSG:32629- WGS 84 / UTM zone 29N. Le 16 mai 2019, un événement pluvieux exceptionnel a donné lieu à des inondations meurtrières à Bamako (Mali). Le démonstrateur Rain Cell app Bamako était alors partiellement opérationnel et comptait 6 pluviographes couvrant l'ensemble de l'agglomération Bamakoise, qui enregistraient et télétransmettaient les données en temps réel. Ce fichier raster en format ASCII ESRI contient les débits de débordement correspondant à la différence entre le débit de pointe de la crue et la capacité d'évacuation du réseau pluvial exprimés en litres par secondes. Les données manquantes sont codées en -9999. Le système de projection est UEPSG:32629- WGS 84 / UTM zone 29N.
Experience feedback (REX) of the May 16 2019 flood event in Bamako, Mali

[Lien vers la fiche source] On May 16 2019, an intense rainfall event led to devastating floods in Bamako, Mali. In the immediate aftermath of the flood event, the Laboratoire Hommes-Peuplements–Environments (Labo-HoPE research laboratory) collected data about the flooding process and mechanism as well as the economic losses and damages. This map represents the extension of the flooded areas delineated in the field with the help of the local communities. The field data was processed using the Field Papers application ([https://fieldpapers.org/]). The map was created with ArcGis and saved in PDF format. Le 16 mai 2019, des pluies intenses ont provoqué des inondations dévastatrices à Bamako, Mali. Au lendemain de l'inondation, le Laboratoire Hommes-Peuplements-Environnements (Labo-HoPE) a recueilli des données sur le processus et le mécanisme des inondations ainsi que sur les pertes et dommages économiques. Cette carte représente les zones inondées relevées sur le terrain avec l'aide des population locales. Les données ont été saisies à l'aide de l'application Field Papers ([https://fieldpapers.org/]) et mises en forme à l'aide du logiciel ArcGis puis sauvegardée sous format PDF.
Data on soil organic carbon content and stock in Martinique – relations to near infrared spectra

[Lien vers la fiche source] This dataset includes observations on soil organic carbon (SOC) gravimetric and volumetric contents (SOCg, in g kg-1, and SOCv, in g dm-3, respectively) for 98 profiles at least 30 cm deep (1 m deep for 59 of them), in rural areas of the Martinique island, in relation to soil types and land uses and management. It also includes particle size distribution down to 30 cm, and near infrared reflectance (NIR) spectra for the main soil types. This dataset allows evaluating the effects of land use, soil type and texture on SOC content and stock, at regional scale. It also allows inferring SOCg, SOCv and particle size distribution from NIR spectra. Such information is useful for studying and managing soils in the Martinique island and in other tropical volcanic regions.
Network, Employment, dEbt, Mobility, and Skills in South India Survey (NEEMSIS-2, 2020-2021)

[Lien vers la fiche source] These data come from the NEEMSIS-2 (Network, Employment, dEbt, Migration and Skills in India Survey) wave carried out in 2020-21 among 631 households in more than 10 villages in the districts of Cuddalore and Kallakurichi (ex Viluppuram), in the rural region of Tamil Nadu (South India). This is the third wave of a multi-thematic household and individual survey (employment, financial practices, agriculture, education, migration, skills, social networks). The first wave is known as the RUME (RUral Microfinance and Employment survey) and took place in 2010. The second wave is NEEMSIS-1, which took place in 2016-17. For more informations about the survey see the [ NEEMSIS website]. Three documentation files in PDF format are provided: 1. "ODRIIS_NEEMSIS2_manual", the survey manual explaining survey methodology, file descriptions and the content of files and variables; 2. "ODRIIS_NEEMSIS2_HHquest", the household questionnaire; 3. "ODRIIS_NEEMSIS2_indivquest", the individual questionnaire. Six Stata files (.dta) are provided: * NEEMSIS2-HH; * NEEMSIS2-loans_mainloans; * NEEMSIS2-occupations; * NEEMSIS2-migrations; * NEEMSIS2-ego; * NEEMSIS2-alters. To ensure anonymity, names and addresses have been removed. The name of the village has also been scrambled.
Ants from S.Groc (PhD) and S.Durou (MasterII) works

[Lien vers la fiche source] These ants where sampled during the works of Sarah Groc (PhD,2011, "Communautés natives des fourmis de la litière de Guyane française et impact de la conversion forestières en plantations monospécifiques (Directeur Alain Dejean)") and Sébastien Durou (Master II, 2000)
Photovoice to better understand school food procurement in Ghana: Interview transcripts

[Lien vers la fiche source] This study aimed to better understand the lived experiences of Ghana School Feeding Programme (GSFP) caterers in order to identify context-specific challenges and solutions around their food procurement and provisioning practices. In 2024, a qualitative participatory photography study was conducted with school caterers working for the national school meals programme, GSFP, in the Greater Accra Region. Participants were asked to take photos of three set themes: 1. Something that makes providing a school meal easy for you; 2. Something that makes providing a school meal difficult for you; 3. A solution or way that difficulty could be overcome. In addition to these set themes, participants worked in pairs to co-create two new study themes, and final themes were selected by group vote. Co-created themes included: stress experienced during food shopping and delayed GSFP payments (district 1); stressful transportation and lack of school kitchens (district 2); and limited access and affordability of food items (district 3). Individual follow-up interviews were conducted with 19 participants and used their photographs as a guide to better understand caterers' daily lived experience. The data available in this set includes open access to the photovoice interview guide and participant consent form. The data also includes integral transcripts from the 19 interviews with personal information redacted. This data is available upon formal request to the listed contact for a research project. A period of embargo is placed on the transcripts until at least January 2026.
A forecasting model for desert locust presence  in West and North Africa

[Lien vers la fiche source] The set of scripts provided in this dataverse contains most of the steps and data necessary to create and reproduce the models, as well as the software developped to produce automatic forecasting maps. Regarging model training, evaluation and selection, the scripts are written in R and are numbered from 01 to 07 (in LocustForecastCLCPRO4/RCodes). The software part depicting the automatic chain of : real-time downloading satellite image (steps 00 all in SatData-main), real-time prediction of locust distribution based on selected model (step 08 in PyhtonCodes), updating the forcasting map in a web interface (step 09 in mppcpro-main), correspond mostly to pyhton scripts. The folder SatData-main contains the pythons files for automated downloading satellite image from MODIS, VIIRS and Copernicus. The LocustForecastCLCPRO4/Rcodes folder contains all the scripts to build the database and models. All files inside the PythonCodes are meant for real-time model predictions. The mppcpro-main folder holds the R and Python scripts used for web interface.
Simulated dataset of pesticide use and fate in Guadeloupe Island using Agri-STAMP model

[Lien vers la fiche source] This dataset includes the inputs of Agri-STAMP model to simulate the use and fate of pesticides in Guadeloupe, 1969 - 2014, and the outputs for 56 pesticide active substances in Guadeloupe Island (Basse-Terre and Grande-Terre), and Marie-Galante.
Data for "Drivers of soil organic carbon stocks at village scale in a sub-humid region of Zimbabwe"

[Lien vers la fiche source] These are the raw data of the paper "Understanding drivers of soil organic carbon stocks at village scale in a sub-humid region of Zimbabwe” authored by Rumbidzai W. Nyawasha, Gatien N. Falconnier, Pierre Todoroff, Alexandre M.J.-C. Wadoux, Regis Chikowo, Adrien Coquereau, Louise Leroux, Camille Jahel, Marc Corbeels, Rémi Cardinael
Contour du bassin versant de l'Oued Ambouli, République de Djibouti

[Lien vers la fiche source] Jeux de données SIG du bassin versant de l'Oued Ambouli, République de Djibouti. Les fichiers fournis sont des fichiers d'entrée des modèles (couches vecteur SIG au format shapefile) du bassin versant. Le bassin versant exoréique de l'Oued Ambouli situé au sud-est de la République de Djibouti, s'étend sur plus de 794 km2 soit 3.5 % de la surface du pays. Il est le plus grand bassin versant du district de Djibouti.
Supplementary data for: Local forest structure and host-specificity influence liana community composition in a moist central African forest

[Lien vers la fiche source] This dataset contains the liana plot level informations about the different data used in the paper "Local forest structure and host-specificity influence liana community composition in a moist central African forest" in Ecology and Evolution. Liana structure metrics are at the liana quadrats (20x20 m2) level. Environmental metrics are at the liana quadrat level with a 10-m buffer on each side (40x40 m2). Liana functional trait metrics are community weighted means at the quadrat level.
Jeux de données d'inventaire des légumineuses présentes dans les agrosystèmes d'Afrique de l'Ouest

[Lien vers la fiche source] La construction d’une base de données recensant l’ensemble des espèces de légumineuses présentes dans 3 pays d’Afrique de l’Ouest (Bénin, Burkina Faso et Sénégal) a été initiée dans le cadre de LegAE,un projet de recherche focalisé sur les légumineuses dans un contexte de transition agroécologique et renforcement de la sécurité alimentaire en Afrique. Un état des lieux des connaissances disponibles sur les services écosystémiques (SES) rendus par ces espèces a été mené conjointement. Le travail a été réalisé sur la base d’une revue bibliographique d’envergure et de quelques entretiens réalisés auprès d’experts établis dans la zone d’étude. La base de données (BDD) recense 148 genres et 558 espèces de légumineuses ; elle rassemble pour chaque espèce les informations recueillies sur sa distribution géographique, ses synonymes et noms d’usage, son cycle de vie, son caractère cultivé ou non, son type d’habitat(s), son éventuel référencement sur la liste rouge de l’UICN, enfin sa sensibilité vis-à-vis d’un certain nombre de paramètres biotiques et abiotiques. Un onglet de la BDD est dédié à la présentation des résultats d’une analyse bibliométrique menée afin d’illustrer la forte amplitude dans l’intérêt que porte la recherche aux différents taxons inventoriés.
Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis

[Lien vers la fiche source] The diffusion of knowledge, extracted from the Knomana knowledge base (Silvie et al., 2021) or inferred using Knomana, requires to develop a specific application for each type of final user (e.g. researcher vs. farmer). This involves to develop a family of similar applications, which can be done thanks to the paradigm of software product line. A challenge is to identify, analyze and structure the functionalities required by each user before the development of such applications. The considered solution is to use website presenting similar functionalities to design the ones of Knomana. The solution evaluated consists in using an LLM.
Herbier Universitaire de la Réunion

[Lien vers la fiche source] The Herbier Universitaire de la Réunion is a scientific collection registered in the international Index Herbariorum as REU herbarium. The Herbier Universitaire de la Réunion consists of more than 20,000 dry specimens, over 1,000 specimens in spirit collection and about 500 specimens in silica gel. It covers over 300 families of vascular plants (spermaphytes and pteridophytes), bryophytes and lichens. The specimens were collected mainly in Réunion but also in Mauritius, Rodrigues, Madagascar and Glorieuses Islands. The Herbier Universitaire de la Réunion has an important historical value. About 300 specimens are over 100 years old. The oldest specimen was collected by Commerson in 1770. The other collections are those of Thérésien Cadet (8,500 specimens), Roger Lavergne (3,000 specimens), Jean Bosser (2,000 specimens) and Francis Friedmann (2,000 specimens). The herbarium is regularly enriched with specimens collected by research teams from Université de la Réunion, specimens exchanged with other herbaria and legs from local and foreign botanists. The collection is partially digitized and managed through a publicly accessible database: https://collections-umr-pvbmt.cirad.fr The database allows specimens search by taxon name, collector, locality and collection date. The database also hosts pictures of the digitized specimens. The Herbier Universitaire de la Réunion is housed at the Plant Protection Platform in Saint-Pierre, Réunion (https://3p.cirad.fr).